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Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data
Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical trea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783683/ https://www.ncbi.nlm.nih.gov/pubmed/33372564 http://dx.doi.org/10.1177/1557988320984282 |
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author | Montiel Ishino, Francisco A. Rowan, Claire Das, Rina Thapa, Janani Cobran, Ewan Whiteside, Martin Williams, Faustine |
author_facet | Montiel Ishino, Francisco A. Rowan, Claire Das, Rina Thapa, Janani Cobran, Ewan Whiteside, Martin Williams, Faustine |
author_sort | Montiel Ishino, Francisco A. |
collection | PubMed |
description | Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical treatment delays while assessing co-occurring social determinants of health. Profiles were identified by age, marital status, race, county of residence (non-Appalachian or Appalachian), and health insurance type (none/self-pay, public, or private) reported in the Tennessee Department of Health cancer registry from 2005 to 2015 for adults ≥18 years (N = 18,088). We identified three risk profiles. The highest surgical delay profile (11% of the sample) with a 30% likelihood of delaying surgery >90 days were young Black men, <55 years old, living in a non-Appalachian county, and single/never married, with a high probability of having private health insurance. The medium surgical delay profile (46% of the sample) with a 21% likelihood of delay were 55–69 years old, White, married, and having private health insurance. The lowest surgical delay profile (42% of the sample) with a 14% likelihood of delay were ≥70 years with public health insurance as well as had a high probability of being White and married. We identified that even with health insurance coverage, Blacks living in non-Appalachian counties had the highest surgical delay, which was almost double that of Whites in the lowest delay profile. These disparities in PCa surgical delay may explain differences in health outcomes in Blacks who are most at-risk. |
format | Online Article Text |
id | pubmed-7783683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77836832021-01-14 Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data Montiel Ishino, Francisco A. Rowan, Claire Das, Rina Thapa, Janani Cobran, Ewan Whiteside, Martin Williams, Faustine Am J Mens Health Original Article Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical treatment delays while assessing co-occurring social determinants of health. Profiles were identified by age, marital status, race, county of residence (non-Appalachian or Appalachian), and health insurance type (none/self-pay, public, or private) reported in the Tennessee Department of Health cancer registry from 2005 to 2015 for adults ≥18 years (N = 18,088). We identified three risk profiles. The highest surgical delay profile (11% of the sample) with a 30% likelihood of delaying surgery >90 days were young Black men, <55 years old, living in a non-Appalachian county, and single/never married, with a high probability of having private health insurance. The medium surgical delay profile (46% of the sample) with a 21% likelihood of delay were 55–69 years old, White, married, and having private health insurance. The lowest surgical delay profile (42% of the sample) with a 14% likelihood of delay were ≥70 years with public health insurance as well as had a high probability of being White and married. We identified that even with health insurance coverage, Blacks living in non-Appalachian counties had the highest surgical delay, which was almost double that of Whites in the lowest delay profile. These disparities in PCa surgical delay may explain differences in health outcomes in Blacks who are most at-risk. SAGE Publications 2020-12-29 /pmc/articles/PMC7783683/ /pubmed/33372564 http://dx.doi.org/10.1177/1557988320984282 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Montiel Ishino, Francisco A. Rowan, Claire Das, Rina Thapa, Janani Cobran, Ewan Whiteside, Martin Williams, Faustine Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data |
title | Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay
Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The
Constellation of Health Determinants Using Latent Class Analysis on Cancer
Registry Data |
title_full | Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay
Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The
Constellation of Health Determinants Using Latent Class Analysis on Cancer
Registry Data |
title_fullStr | Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay
Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The
Constellation of Health Determinants Using Latent Class Analysis on Cancer
Registry Data |
title_full_unstemmed | Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay
Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The
Constellation of Health Determinants Using Latent Class Analysis on Cancer
Registry Data |
title_short | Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay
Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The
Constellation of Health Determinants Using Latent Class Analysis on Cancer
Registry Data |
title_sort | identifying risk profiles of malignant prostate cancer surgical delay
using a person-centered approach to understand prostate cancer disparities: the
constellation of health determinants using latent class analysis on cancer
registry data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783683/ https://www.ncbi.nlm.nih.gov/pubmed/33372564 http://dx.doi.org/10.1177/1557988320984282 |
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